Community and Provider Evaluation of a Canadian Dementia Support Services Program
Bibliographic record
Abstract
BackgroundCommunity programs and services dedicated to support those living with dementia and care partners can improve their qual-ity of life. In close collaboration with the Alzheimer Society of British Columbia, we evaluated the First Link® dementia support services, aiming to identify key strengths and areas of improvements to inform the services offered. MethodsA survey instrument was developed and distributed to people living with dementia, care partners, and health-care providers. ResultsA total of 1,123 surveys were analyzed. Overall, respondents were satisfied with First Link dementia support services. Key strengths of the program included providing information and education for their clients to learn more about dementia and other resources in the community. Areas for improvement that were identified as part of this evaluation included additional supports for participants’ mental health and well-being in terms of reducing stress, burden and isolation. Findings uncov-ered discrepancies in the way people living with dementia, care partners, and health-care providers view the effectiveness of the First Link dementia support services. Conclusion An evaluation of programs and services for people living with dementia and their care partners can provide valuable insights about their experiences which can ensure that their needs are addressed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".